Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients

It is a great privilege to participate in this exceptional team and be a co-author of the present article published in the npj Digital Medicine journal.

The study explores the predictive ability of a new method based on deep transfer learning and data augmentation on predicting hypoglycemia vs. no hypoglycemia and hypoglycemia vs. normoglycemia and hyperglycemia in patients with type 2 diabetes.

Read the full article here.

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Recognition Award in design and application of open and reproducible research solutions